Analysis Functions
Functions for dimensionality reduction analysis include:
Factor Analysis: describes variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors
Principal Component Analysis: method to determine the correlation of data points
Selection Functions
Functions for dimensionality reduction selection include:
Feature Selection: method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables